Evidence map›Paper›PMID 36915535›Full record

ArticleHeliyon2023

Method validation of a bridging immunoassay in combination with acid-dissociation and bead treatment for detection of anti-drug antibody.

Jialiang Du, Yalan Yang, Lingling Zhu, Shaoyi Wang, Chuanfei Yu, Chunyu Liu, Caifeng Long, Baowen Chen, Gangling Xu, Linglong Zou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Jialiang DuKey Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, Division of Monoclonal Antibody Products, National Institutes for Food and Drug Control, Beijing, China.
Yalan YangKey Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, Division of Monoclonal Antibody Products, National Institutes for Food and Drug Control, Beijing, China.
Lingling ZhuShanghai Henlius Biotech Inc, Shanghai, China.
Shaoyi WangShanghai Henlius Biotech Inc, Shanghai, China.
Chuanfei YuKey Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, Division of Monoclonal Antibody Products, National Institutes for Food and Drug Control, Beijing, China.
Chunyu LiuKey Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, Division of Monoclonal Antibody Products, National Institutes for Food and Drug Control, Beijing, China.
Caifeng LongKey Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, Division of Monoclonal Antibody Products, National Institutes for Food and Drug Control, Beijing, China.
Baowen ChenKey Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, Division of Monoclonal Antibody Products, National Institutes for Food and Drug Control, Beijing, China.
Gangling XuKey Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, Division of Monoclonal Antibody Products, National Institutes for Food and Drug Control, Beijing, China.
Linglong ZouShanghai Henlius Biotech Inc, Shanghai, China.
Lan WangKey Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, Division of Monoclonal Antibody Products, National Institutes for Food and Drug Control, Beijing, China.
National Institutes for Food and Drug Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-drug antibody (ADA) positivity is correlated with disease relapse risk when treated with monoclonal antibody (mAb) therapeutics. ADA evaluation can assist with interpreting pharmacokinetic, pharmacological, and toxicology results. Here, we established an ADA assay based on two steps of acid dissociation combined with a bridging immunoassay to provide a comprehensive validation strategy. The three-tiered sample analysis process included screening, confirmation, and titration assays using therapeutic HLX26 (targeting lymphocyte activation gene-3 [LAG-3]) as an example. The cut points were determined by testing 50 individual normal human serum samples, including screening cut point (SCP) (SNR: 1.08), confirmatory cut point (CCP) (% inhibition: 12.65), and titration cut point (TCP) (sample-to-noise ratio [SNR]: 1.17). The assay sensitivity, low positive control (LPC), and high positive control (HPC) titer acceptable range were also set up as 33.0 ng/mL, 41.0 ng/mL, and 320-1280, respectively. After full validation, both the intra-assay and inter-assay precision testing passed with coefficient of variations (CVs) < 20%. The assay enabled excellent drug tolerance up to 768.0 μg/mL at the HPC level and 291.0 μg/mL at the LPC level, while the tolerance of target interference was up to 74.0 ng/mL of soluble LAG3. Moreover, no false-positive results were observed in the presence of 5% hemolyzed serum samples and 150 mg/dL of triglyceride in the serum samples, no hook effect was observed, and the stability performed normally under room temperature for 24 h, 2-8 °C for 7 d, and six freeze/thaw cycles. In summary, this ADA assay is feasible and could be used for evaluating the immunogenicity of HLX26 in clinical trials.

Indexed as

Acid dissociationAnti-drug antibodyBridging immunoassayImmunogenicityLAG-3Streptavidin magnetic beads

Identifiers

PMID36915535
PMCPMC10006523
OpenAlexW4322487744

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.